Your workflow is not clear to me, so I can't give any specific advice.
1: I don't understand what you need. Do you need the column names changed? They
correspond to the matched
words.
2: How was the vector dictionary_word created? These are (mostly) stemmed
nouns, but some of them are two or even three words? Did you do this by hand?
But this also contains "cmp" which is not a stemmed word, or "particl", or
"recoveri" which is not correctly stemmed. This doesn't look promising, I think
at least you will need to place hyphens between the words, but since you are
using stemmed words this will be difficult.
3: Since the default tokenizer is "words", I think the two-word and three-word
elements of the dictionary_word vector will not be found. They don't exist as
tokens.
4: Don't use "list" as a variable name.
In summary - I think your problems have to do with stemming and tokenizing and
not with formatting the output of DocumentTermMatrix(). I don't think tm has
functions to produce stemmed multi-word tokens like the elements in your
dictionary_word vector. You may need to do the analysis with your own
functions, using regular expressions.
B.
> On May 8, 2017, at 3:56 AM, θ ＂ <yarmi1...@hotmail.com> wrote:
>
> Hi Steipe：
> Thanks for your recommend.
> I have used the DocumentTermMatrix function of tm package to try.
> But I prefer the matrix result shows the frequency of the dictionary word.
> Is there any way to do?
> The following are my code and result：
>
> dictionary_word <- c("neutral", "abras particl", "acid", "apparatus", "back
> film", "basic", "carrier", "chemic", "chromat confoc", "clean system", "cmp",
> "compens type", "compress", "comsum", "control system", "down pressur",
> "dresser condition", "detect system", "flow rate control", "fractal type",
> "groov", "hard", "improv type", "infrar", "laser confoc", "layer", "measur
> system", "micro stuctur", "monitor system", "multi layer", "none-por",
> "nonwoven pad", "pad", "pad applic", "pad condit system", "pad materi", "pad
> properti", "pad structur", "ph sensor", "planet type", "plate", "plat",
> "poisson ratio", "polish head", "polish system", "polym pad", "polyurethan
> pad", "porous", "process paramet", "process path", "process time",
> "recoveri", "rotat speed", "rough", "scatter", "semiconductor cmp", "sensor",
> "signal acceptor", "singl layer", "slurri", "slurri flow rate", "slurri ph
> valu", "slurri stirrer", "slurri suppli system", "slurri temperatur", "slurri
> weight percentag", "storag cmp", "stylus profil", "substrat cmp", "thick",
> "transfer robot", "ultrason", "urethan pad", "wafer cassett", "wafer transfer
> system", "white light interferomet", "young modulus")
>
> list<-inspect(DocumentTermMatrix(corpus_tm,
> list(weighting =weightTf,
> dictionary = dictionary_word)))
>
> <keywords of dictionary.PNG>
>
>
> 寄件者: Boris Steipe <boris.ste...@utoronto.ca>
> 寄件日期: 2017年5月5日 下午 04:39
> 收件者: θ ＂
> 副本: r-help@r-project.org
> 主旨: Re: [R] How do I use R to build a dictionary of proper nouns?
>
> Did you try using the table() function, possibly in combination with sort()
> or rank()?
>
>
> Consider:
>
> myNouns <- c("proper", "nouns", "domain", "ontology", "dictionary",
> "dictionary", "corpus", "patent", "files", "proper", "nouns",
> "word", "frequency", "file", "preprocess", "corpus", "proper",
> "nouns", "domain", "ontology", "idea", "nouns", "dictionary",
> "dictionary", "corpus", "attachments", "texts", "corpus",
> "preprocesses", "proper", "nouns")
>
> myNounFrequencies <- table(myNouns)
> myNounFrequencies
>
> myNounFrequencies <- sort(myNounFrequencies, decreasing = TRUE)
> myNounFrequencies
>
> which(names(myNounFrequencies) == "corpus")
>
>
>
>
>
> > On May 5, 2017, at 1:58 AM, θ ＂ <yarmi1...@hotmail.com> wrote:
> >
> > θ ＂ 已與您共用 OneDrive 檔案。若要檢視檔案，請按下面的連結。
> >
> >
> > <https://1drv.ms/u/s!Aq27nOPOP5izgVRRxXomVBv0YV0j>
>
>
>
> > [https://r1.res.office365.com/owa/prem/images/dc-png_20.png]<https://1drv.ms/u/s!Aq27nOPOP5izgVRRxXomVBv0YV0j>
> >
> > 2.corpus_patent text.PNG<https://1drv.ms/u/s!Aq27nOPOP5izgVRRxXomVBv0YV0j>
>
>
>
> >
> > <https://1drv.ms/u/s!Aq27nOPOP5izgVURiS7MbYH6hJzo>
>
>
>
> > [https://r1.res.office365.com/owa/prem/images/dc-png_20.png]<https://1drv.ms/u/s!Aq27nOPOP5izgVURiS7MbYH6hJzo>
> >
> > 3ontology_proper nouns
> > keywords.PNG<https://1drv.ms/u/s!Aq27nOPOP5izgVURiS7MbYH6hJzo>
>
>
>
> >
> > <https://1drv.ms/u/s!Aq27nOPOP5izgVYuRVxM1OyzIPzF>
>
>
>
> > [https://r1.res.office365.com/owa/prem/images/dc-png_20.png]<https://1drv.ms/u/s!Aq27nOPOP5izgVYuRVxM1OyzIPzF>
> >
> > 1.patents.PNG<https://1drv.ms/u/s!Aq27nOPOP5izgVYuRVxM1OyzIPzF>
>
>
>
> >
> >
> >
> >
> > Hi :
> >
> > I want to do patents text mining in R.
> > I need to use the proper nouns of domain ontology to build a dictionary.
> > Then use the dictionary to analysis my corpus of patent files.
> > I want to calculate the proper nouns and get the word frequency that
> > appears in each file.
> >
> > Now I have done the preprocess for the corpus and extract the proper nouns
> > from domain ontology.
> > But I have no idea how to build a proper nouns dictionary and use the
> > dictionary to analysis my corpus.
> >
> > The Attachments are my texts, corpus preprocesses and proper nouns.
> >
> > Thanks.
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> R-help Info Page - Homepage - SfS – Seminar for Statistics
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>
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